AI spend is easy to track.Value is what we realise.

AI spend is accelerating faster than our ability to realise its value. We measure what your portfolio has returned, benchmark it against your peers, and give you one quarterly decision: where the next dollar goes, and where capital can be released.

TODAY While your AI spend continues to grow, how will you prevent a value gap? THE VALUE GAP 2022 2023 2024 2025 2026 2027 2028 2029 2030
Committed AI investment Measured value realised

Illustrative. Replace with client-verified benchmark data before launch.

01 — The Value Test

Six questions every AI investment should be able to answer.

Not measurement questions — capital allocation questions. The ones a CFO already answers for every other class of spend. AI is the last category without a shared way to answer them.

How well can your executive team confidently answer the following questions today?

01Are we getting value from our AI investment?
02Where should we invest next?
03Which AI initiatives should we stop?
04How do I explain AI ROI to the Board?
05Are we ahead or behind our competitors?
06How do we avoid wasting money on AI?

0 of 6 answered

Six questions. One standard. The same answer format every quarter, so the Board reads a trend rather than a fresh argument.

02 — The problem

Organisations measure what AI costs. Very few measure what it returns.

Every enterprise can tell you its AI spend to the dollar. Almost none can tell the Board what changed in the business because of it. That distance is the AI value gap — and it is widening.

Counted every month

  • Licences
  • Projects
  • Agents deployed
  • Seats and usage
  • Model spend

Rarely measured at all

  • Business value
  • Return on investment
  • Transformation progress
  • Leadership capability
  • Enterprise capability

03 — The firm

The standard for AI investment value — and the system of record that applies it.

We build the AI Value Realisation Platform™ — software that registers every AI investment, scores what it returned, benchmarks it against anonymised peers, and generates the board pack. We hold no build revenue and no vendor margin, so the only number we have an interest in is the one that survives scrutiny.

We believe

Value realisation is a discipline, not a one-off

Finance and transformation have a system for realising value. AI has been run on hope. We built the missing method — run by software, every quarter.

We believe

A claim is not a return until it survives scrutiny

Every claimed benefit is discounted for what the AI caused, whether it recurs, and how well it is evidenced. The gap between claimed and evidenced is usually the most useful number in the report.

We believe

If it cannot be reported, it was not realised

Value that never reaches a board pack is an anecdote. We measure to a standard a CFO will sign — the same way, every quarter.

04 — The flagship

The Quarterly AI Investment Review

A standing ninety-minute session, every quarter, on one agenda: what the portfolio returned, what scales, what stops. The platform does the work, so the session is spent deciding rather than assembling. Not an assessment you commission — a rhythm you adopt.

Every quarter
What did the portfolio return, and how much of that can we prove?
Which initiatives earn the next tranche of investment?
Which initiatives stop, and on what evidence?
Where do we sit against our sector?

What you buy is the ability to walk into a board meeting four times a year with a defensible account of where the AI money went and what it bought.

The AI Board™ adds senior experts to the room for organisations that want independent challenge as well as evidence.

One standard. One score. One quarterly rhythm — from your first AI pilot to an enterprise-wide portfolio.

The standard we measure against

The AI Value Standard

Financial investment has accounting standards. Cloud spend has FinOps. AI investment has had nothing — no shared definition of value, and no way to compare one claim against another.

The AI Value Standard™ is that definition. Five scored dimensions — revenue, cost, productivity, risk and customer. A four-tier evidence ladder, and a confidence overlay that discounts a score by the strength of the evidence behind it.

Applied identically every time — which is what makes one score comparable to another.

The method

The AI Value Standard

How value is defined, evidenced and scored. Works from a single organisation’s first assessment, and it is what practitioners are certified against.

The benchmark

The AI Value Index

What the Standard produces at scale. Every assessment contributes anonymised data, answering what no single assessment can: how do we compare to our sector?

Where it stands

Building, not built

The Index is building, and we say so plainly. Founding Benchmark Partners help establish it — and receive their sector cut first.

05 — The decision the review exists to make

Every initiative gets a verdict. Including the ones that free up capital.

Most AI portfolios are not short of ideas. They are short of the room to fund them, because capital is still committed to initiatives that have not returned. Releasing it is the fastest source of AI funding most organisations have.

Every initiative carries an explicit disposition, measured against the Standard. Four of the five say continue. The fifth releases the money.

Scale Evidenced and returning above 1.5×. Increase investment with confidence.
Scale — verify financial case Evidence is strong, the return is thin. Confirm the economics before scaling.
Refine & monitor Value is real, measurement is incomplete. Continue, and close the evidence gap.
Monitor & improve Value is partial or unproven. Hold investment flat pending better evidence.
Stop or restart — capital released — no demonstrable value, no return — redeploy to what is working

The same three questions for every initiative. What did it return? How well can you prove it? What did it cost? The answers decide the disposition — not the loudest sponsor.

06 — What the review delivers

Six things every quarter.

01 — The AI Value Standard™

One standard, applied identically every time

Five dimensions, a four-tier evidence ladder, a documented confidence overlay — applied the same way every quarter. That is what makes one score comparable to another.

02 — AI Value Scorecards™

Board-ready measures of what matters

Scorecards measuring what matters: revenue, productivity, cost, risk and customer. AI measured by business outcomes, not technology activity.

03 — Investment Intelligence

Benchmark maturity and performance

Benchmark your performance against anonymised peers in your sector. The AI Value Index™ is building; founding contributors receive the sector cut first.

04 — Dispositions

An explicit call on every initiative

Five dispositions — scale, verify, refine, hold, stop. No initiative leaves the review without one, and the evidence sits on the page.

05 — Governance & Reporting

The board pack, generated

Board-ready reporting generated by the platform, not assembled by hand — same structure every quarter, so directors read a trend.

06 — Independent judgement, optional

Senior experts, if you want them

The AI Board™ puts senior experts in the room for the review. A premium option on top of the platform.

A repeatable operating rhythm

A disciplined quarterly cadence — built into how you govern AI.

01

Measure

Capture business outcomes and value realised.

02

Benchmark

Compare performance against internal targets and industry peers.

03

Prioritise

Identify where to invest, optimise, scale or stop.

04

Govern

Review investment decisions through structured executive governance.

05

Improve

Execute agreed actions and continuously increase value realised.

Then repeat. Quarter after quarter. Investment after investment.

Built to scale

Five initiatives or five hundred — the method stays the same.

The review scales from one business unit to an enterprise portfolio, because the standard — not the consultant — carries the quality. As the network grows, so does the benchmark behind every recommendation.

Explore our offerings

Every quarter
An independent AI Value Scorecard™
A portfolio review and clear recommendations
Investment recommendations based on evidence
Benchmark comparisons against peers
A prioritised roadmap for increasing business value
Board-ready reporting for confident decisions

Not another dashboard. Not another consulting report. A standing, independent discipline that helps organisations maximise the return on every AI investment.

07 — How the method works

The Value Framework

Six stages, run in sequence, the same way every time. Each produces an artefact the next one builds on — so every engagement is repeatable and every result comparable.

01

Assess

Establish the true position of the AI portfolio, spend and capability.

02

Align

Tie every investment to a business outcome an executive owns.

03

Measure

Instrument value, not activity. Agree the scorecard before the spend.

04

Optimise

Reallocate. Stop what is not returning. Fund what is.

05

Realise

Convert capability into P&L movement and enterprise capability.

06

Report

Give the Board a defensible account of value, every quarter.

08 — What we cover

Four practices. One question.

Our experts work across the four places value is won or lost — investment, cost, leadership and operating model — as one discipline.

Domain 01

Investment & Portfolio

Prioritisation, business cases and decision rights, tracked in one view. Where the money goes, who owns the outcome, and what it returned.

Domain 02

Value & FinOps

Cost transparency, unit economics and value measurement — the live scorecard and benchmarks, with the discipline to hold them.

Domain 03

Leadership & Adoption

Capability, decision-making and the human side of adoption. Most AI value is lost here, quietly — we make it visible.

Domain 04

Operating Model

Process, structure and ways of working. Turning AI capability into how the organisation actually runs, day to day.

09 — Insights

Research for the people realising the value.

Executive report

The AI Value Index 2026

What the enterprises actually realising value are doing differently — and how far ahead of the median they are.

Coming soon
Article

Why your AI business case will not survive the audit

The three assumptions that appear in almost every AI investment case, and why none of them hold.

Coming soon
Board briefing

Eleven questions a Board should ask about AI

A one-page instrument for directors who need to test the investment without testing the technology.

Coming soon

The Founding Benchmark Programme

Become one of the first design partners.

Twenty organisations, helping establish the AI Value Index™. Founding partners receive a full assessment at founding pricing, quarterly reassessment for twelve months, and first access to the sector benchmark — in exchange for anonymised data and feedback on the method. Not free, by design: priced well below market rate, because contributors commit.

Apply to become a design partner
Twenty places Founding pricing Regulated mid-market & enterprise